Osamu Kaneko
- Parasitology top 0.5%
- Vector-borne infectious diseases 29
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- Malaria Research and Control 108
- Mosquito-borne diseases and control 71
- Immunology top 2%
- Invertebrate Immune Response Mechanisms 23
- Virology top 2%
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- Control Systems and Identification 72
- Advanced Control Systems Optimization 50
- Fault Detection and Control Systems 46
- Iterative Learning Control Systems 21
- Co-authors
- Takao FujiiMotomi ToriiTakafumi TsuboiMayumi TachibanaKazuhide YahataHitoshi OtsukiKazuyuki TanabeJohn H. Adams
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Osamu Kaneko
224 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 130
- Parasitology 1.0k
- Public Health, Environmental and Occupational Health 3.1k
- Immunology 1.3k
- Virology 227
- Control and Systems Engineering 880
Countries citing papers authored by Osamu Kaneko
This map shows the geographic impact of Osamu Kaneko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Osamu Kaneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Osamu Kaneko more than expected).
Fields of papers citing papers by Osamu Kaneko
This network shows the impact of papers produced by Osamu Kaneko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Osamu Kaneko. The network helps show where Osamu Kaneko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Osamu Kaneko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 18 | |
| 14 | 2016 | 1 | |
| 15 | Data-driven parameter tuning of IMC for unstable plants | 2012 | 1 |
| 16 | Fictitious reference iterative tuning of internal model controllers for non-minimum phase plants | 2011 | 3 |
| 17 | 2009 | 63 | |
| 18 | 1998 | 20 | |
| 19 | 1995 | 2 | |
| 20 | 1973 | 1 |
About Osamu Kaneko
Osamu Kaneko is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Control and Systems Engineering, having authored 242 papers that have together received 4.8k indexed citations. Recurring topics across this work include Malaria Research and Control (108 papers), Control Systems and Identification (72 papers), Mosquito-borne diseases and control (71 papers), Advanced Control Systems Optimization (50 papers), Fault Detection and Control Systems (46 papers), Vector-borne infectious diseases (29 papers), Invertebrate Immune Response Mechanisms (23 papers) and Iterative Learning Control Systems (21 papers). The work is most often cited by research in Parasitology (1.0k citations), Public Health, Environmental and Occupational Health (3.1k citations) and Immunology (1.3k citations). Osamu Kaneko has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takao Fujii, Motomi Torii, Takafumi Tsuboi, Mayumi Tachibana, Kazuhide Yahata, Hitoshi Otsuki, Kazuyuki Tanabe, John H. Adams, Louis H. Miller and Masatsugu Kimura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.